Data Engineer Consultant Jobs in California (NOW HIRING)

Your Role 

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Consultant will report to the Sr Manager, Data Solutions / Manager. This role serves as a senior individual contributor and technical leader, responsible for driving endtoend delivery of complex data engineering solutions across cloud data platforms. The DEC partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and productionready data products.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

About Stellarus and the Ascendiun Family of Companies

Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.    
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company. 

Stellarus' vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus' objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California's vision by using innovation to improve quality, affordability, and experience for members.   

To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.

Our Values: 

At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.

Physical Requirements:

Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.

Please click here for further physical requirement detail. 

Equal Employment Opportunity:

External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

Your Knowledge and Experience 

• Requires a bachelor's degree or equivalent experience.
• Requires a minimum of 7 years of data engineering experience.
• Advanced handson expertise in SQL, including automation and pipeline optimization
• Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal
• Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing
• Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
• Strong understanding of security, privacy, and compliance requirements in regulated environments
• Experience working with largescale, distributed data platforms and parallel processing architecture
• Excellent communication and stakeholder engagement skills
• Proven ability to lead technically without formal people management responsibility

• Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems

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Your Work 

In this role, you will: 

• Lead the design and implementation of complex, data pipelines and data products from development through production

• Translate solution designs and business requirements into detailed technical architecture and implementation plans

• Architect and build scalable, secure, and highly available data solutions across enterprise data platforms

• Apply advanced data modeling techniques (Data Vault 2.0, dimensional, and domainoriented models) to support analytics and reporting needs

• Embed data quality, testing, security, and observability by design across data pipelines

• Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization

• Identify and implement optimization opportunities related to performance, reliability, and cloud cost management

• Influence and evolve data engineering standards, patterns, and frameworks used by delivery teams

• Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews

• Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners

• Support integration of AI/MLready datasets by ensuring data is wellmodeled, reliable, and governed

• Communicate complex technical concepts clearly to both technical and nontechnical stakeholders